神经网络7种C语言实现代码，大家可以

hmm算法 包括前后向算法、viterbi算法、bw算法等另外包括内存申请等源代码-algorithm to include before and after algorithm, Viterbi algorithm, bw algorithm other memory applications including source code

遗传算法简称GA(Genetic Algorithm)，在本质上是一种不依赖具体问题的直接搜索方法。遗传算法在模式识别、神经网络、图像处理、机器学习、工业优化控制、自适应控制、生物科学、社会科学等方面都得到应用。在人工智能研究中，现在人们认为“遗传算法、自适应系统、细胞自动机、混沌理论与人工智能一样，都是对今后十年的计算技术有重大影响的关键技术”。-Referred to as genetic algorithm GA (Genetic Algorithm), in essence is a kind of do not rely on specific issues of direct search method. Genetic algorithm in pattern recognition, neural networks, image processing, machine learning, optimization of industrial control, adaptive control, biological sciences, social sciences and so on have been applied. Research in artificial intelligence, now that the " genetic algorithms, adaptive systems, cellular automata, chaos theory and artificial intelligence, are the next ten years of the computing technology have a major impact on the key technology."

％ RBF 神经网络用于函数拟合　 ％ 使用平台 - Matlab6.5- RBF neural network used for function fitting platform- Matlab6.5

这是一个用MATLAB写的模拟退火算法程序。-This is a written with MATLAB procedure simulated annealing algorithm.

classification_matlab_toolbox分类方法工具箱，有界面很直观。-classification_matlab_toolbox classification toolbox, a very intuitive interface.

模式识别中isodata的 vc++实现-pattern recognition isodata achieve the vc

BP算法C++的BP算法源程序 BP算法C++的BP算法源程序 -BP algorithm C BP algorithm source algorithm C BP BP algorithm source code

本程序是进行路径的寻找的程序，是一个朋友写的，特此说明。可以进行路径寻优处理。运行时需要导入的图片在代码文件夹中。-this program is the path to find procedures, a friend wrote, it is noted. Can handle path optimization. Need to run into the picture in the code folder.

BP小波神经网络快速学习算法研究and 小波神经网络程序-BP wavelet neural network learning algorithm for rapid research and wavelet neural network procedures

本人编写的GramSchmidt神经网络算法，和传统的神经网络算法比较，该算法能自动产生神经元，节约时间，速度快！ 本人还加了自动产生分类的方法和适合各种函数的转换，该zip包括两个文件，一个是GramSchmidt正交分解，是个子函数，主函数是orth_GramSchmidt，放在同一目录下，就可运行，可以对benchmark的逼近和分类问题提供解决方案-I prepared GramSchmidt neural network algorithm, and the traditional neural network algorithm, the algorithm can automatically generate neurons, saving time, fast! I also added a method of automatically generated classification and conversion for a variety of functions, the zip includes two documents, one is GramSchmidt orthogonal decomposition is a sub-function, the main function is orth_GramSchmidt, on the same directory, you can run can benchmark approximation and classification problems to provide solutions